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BALTIC FORESTRY
Article . 2022 . Peer-reviewed
Data sources: Crossref
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Carbon stocks in the forests of the Ural Region

Authors: Rida Sultanova; Maria Martynova; Georgiy Odintsov; Yulai Yanbaev;

Carbon stocks in the forests of the Ural Region

Abstract

This paper examines carbon stocks in the forests of the Ural region forest fund. Carbon deposition in forest biomass, the average, average annual and annual carbon absorption were assessed by age groups and dominant species. The average annual rates of forest destruction were estimated depending on the territory of forest fires and burnt areas. Carbon losses in the biomass pool after continuous logging were estimated according to the methodology "On approving guidance to calculate greenhouse gas emissions” developed by the Ministry of Natural Resources of the Russian Federation. Carbon storage indicators were calculated from the groundwood of coniferous, hard-leaved and soft-leaved forests for all age groups. Changes in carbon stocks are shown for the period 2007-2018. The forests of the study area, the Republic of Bashkortostan, were found to sink carbon in 3,618.9 thousand tons/year. Pinus sylvestris L. forests accumulate the largest amount of carbon, 58,384.3 thousand tons, among coniferous forests. The difference between carbon absorption and its budget was 3,124.4 thousand tons/year. Soft-leaved stands that dominate in the republic accumulate the largest total carbon stock being 195,900.2 thousand tons. However, their average level of carbon stock is lower than that of coniferous and hard-leaved forests. Maintaining the level of carbon dioxide uptake is a strategic task of the republic's forestry sector, with compensatory reforestation being one solution. Keywords: absorption; carbon; coniferous forests; deciduous forests; storage; wood harvesting

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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